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LFM3-VL-2B vs Qwen2.5-Omni-7B

LFM3-VL-2B leads the LLM Stats Score 15.5 to 4.8.

Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to 4.8, ranking #265 overall.

In the 11 individual benchmarks reported for both models, LFM3-VL-2B wins 9; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 9 of 11 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5-Omni-7B

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
4.8
#337
16.2
#252
0.9
#352
Cost, coverage & limits
Benchmark wins
9 of 11
2 of 11
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
Qwen2.5-Omni-7B
19.0#187
4.8#300
11.4#133
5.2#182
12.6#124
6.5#156
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 45 for Qwen2.5-Omni-7B

11 shared

LFM3-VL-2B outperforms in 9 benchmarks (ChartQA, DocVQA, MathVision, MMBench-V1.1, MMMU-Pro, MMStar, MuirBench, RealWorldQA, TextVQA), while Qwen2.5-Omni-7B is better at 2 benchmarks (MVBench, VideoMME w sub.).

LFM3-VL-2B significantly outperforms across most benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

5.1B diff

Qwen2.5-Omni-7B has 5.1B more parameters than LFM3-VL-2B, making it 264.6% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
1.9B
LFM3-VL-2B
7.0B
Qwen2.5-Omni-7B

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Qwen2.5-Omni-7B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

LFM3-VL-2B

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Qwen2.5-Omni-7B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

LFM3-VL-2B

LFM Open License v1.0

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen2.5-Omni-7B was released on 2025-03-27.

LFM3-VL-2B is 19 months newer than Qwen2.5-Omni-7B.

LFM3-VL-2B

Oct 27, 2026

6 days ago

1.6yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Qwen2.5-Omni-7B.

Which is better, LFM3-VL-2B or Qwen2.5-Omni-7B?

LFM3-VL-2B leads the LLM Stats Score 15.5 to 4.8. LFM3-VL-2B is made by Liquid AI and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Qwen2.5-Omni-7B in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the main differences between LFM3-VL-2B and Qwen2.5-Omni-7B?

Key differences include LLM Stats Score (15.5 vs 4.8), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Qwen2.5-Omni-7B?

LFM3-VL-2B is developed by Liquid AI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.